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Teya

Data Analyst (Payments)

London
Posted 20 days ago
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Hello! We're Teya.

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.

We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.

We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

The Role

We are looking for a Payments Data Analyst to join our London team. You will take ownership of the payments data layer, working at the intersection of Product, Commercial, and Engineering to ensure our acquiring business is measurable, scalable, and optimized for performance.

You will be responsible for the end-to-end payments data lifecycle, from defining core metrics to delivering insights that improve authorization rates, optimize margins, and support commercial decision-making. This is a highly proactive role suited to someone who enjoys solving complex problems and driving impact through data.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Your Responsibilities

Domain Ownership

  • Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation.

Proactive Analysis

  • Go beyond standard reporting by delivering unprompted insights. Diagnose root causes of changes in authorisation rates and identify margin leakage driven by transaction mix or fee structures.

Commercial & Product Partnership

  • Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant-level profitability analysis and pricing scenarios.

Data Architecture & Quality

  • Own the “single source of truth” for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps.

Semantic Layer Development

  • Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling AI-driven workflows and Snowflake Cortex use cases.

Self-Service Strategy

  • Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self-serve insights, while you focus on deeper strategic analysis.

Actionable Narratives

  • Translate complex terminal, POS, and eCommerce data into clear, actionable insights for senior stakeholders to inform product roadmap and pricing decisions.

Must Have

  • 2+ years of experience in a Data Analytics role within Payments, Acquiring, or FinTech
  • Strong understanding of the card transaction lifecycle (Authorisation, Clearing, Settlement)
  • Familiarity with fee structures (Interchange, Scheme Fees, Blended vs IC+ pricing)
  • Strong proficiency in SQL and Tableau (or equivalent BI tool)
  • Hands-on experience with dbt and data modelling
  • Familiarity with Git and cloud data environments (e.g. Snowflake, AWS)
  • Strong analytical mindset with a focus on root cause analysis and experimentation
  • Excellent communication skills with the ability to influence cross-functional stakeholders

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Nice to Have

  • Experience working with Card-Present / POS terminal data
  • Knowledge of chargebacks and dispute processes
  • Proficiency in Python for modelling or advanced analysis
  • Experience with pricing optimisation or portfolio segmentation
  • Exposure to international payment schemes and local payment methods

The Perks

  • Physical and mental health support through our partnership with GymPass, including access to gyms, therapy, meditation, and wellness apps
  • Enhanced maternity and paternity leave policies for greater flexibility and support
  • Cycle-to-Work Scheme
  • Private Health and Life Insurance
  • Pension Scheme
  • 25 days annual leave + bank holidays
  • Daily office snacks
  • Friendly, collaborative, and informal office environment in Central London

Teya is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

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Skills

Data Analytics
Payments
SQL
Tableau
Data Modelling
Git
Cloud Data Environments
Root Cause Analysis
Communication
Python
Pricing Optimisation
Portfolio Segmentation
Chargebacks
Dispute Processes
Semantic Layer Development
Self-Service Strategy

Location

London, England, United Kingdom

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